Equity Quantitative Developer

UBS; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

UBS is seeking an experienced Cash Equities CRB Quantitative Developer to join their Global Markets team in London. The role involves ownership of initiatives in algorithmic trading, focusing on enhancing the Cash Equities platform.

Strong Java skills, low-latency expertise, and knowledge of electronic trading are essential. You will collaborate closely with quantitative traders to implement effective trading models and ensure optimal platform performance.

Join a dynamic and empowered team at UBS, where diverse perspectives are valued.

Qualifications

• Advanced Java programming skills including low-latency techniques.
• Experience designing high-throughput algorithmic trading platforms.
• Strong business knowledge of electronic trading and relevant markets.
• Ability to collaborate with quantitative traders on trading models.
• Experience in producing model documentation.

Responsibilities

• Own initiatives from analysis through design and delivery.
• Drive improvements to the platform and framework.
• Involved in algorithmic trading aspects: market connectivity and execution.
• Design analytics for model performance assessment.
• Conduct latency analysis and optimisation.

Skills

Java programming skills

Low-latency techniques

Algorithmic trading knowledge

Collaborative skills

Model documentation

Messaging libraries knowledge

Time-series databases familiarity

Full stack development

Tools

KDB

Python

React

Aeron

Kafka

FIX

Job description

We are seeking an experienced candidate to join our Cash Equities CRB Quantitative Developer team within UBS Global Markets.

This fast‑paced, collaborative team is responsible for the development and enhancement of the best‑in‑class Cash Equities platform. The team sits within the Global Markets Principal Flow Trading stream and has a business reporting line. You will operate in a high‑performing, fast‑paced quant development team whose goals are directly aligned to the success of the business.

Key Responsibilities

• Take ownership of initiatives from initial analysis through design, implementation and delivery.
• Proactively suggest and drive improvements to the platform and framework.
• Be involved in every aspect of algorithmic trading: market connectivity, designing, implementing and back‑testing hedging, risk management and execution strategies.
• Design and build analytics to assess model and platform performance.
• Conduct latency analysis and optimisation.
• Enhance the proprietary eTrading framework used across the department.

Required Expertise

• Advanced Java programming skills, including low‑latency techniques such as lock‑free data structures and low‑garbage programming.
• Proven experience designing and implementing low‑latency, high‑throughput, event‑driven algorithmic trading platforms.
• Strong business knowledge of electronic trading, ideally Cash Equities and EU / US / Asia market structure.
• Collaboration with quantitative traders to design and implement algorithmic trading models and controls.
• Experience producing model documentation and partnering with governance and second line of defence functions.
• Beneficial to have low‑level experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX, ITCH, OUCH.
• Familiarity with time‑series databases (preferably KDB) and Python for building analytics and reports.
• Full stack development experience is an advantage (preferably React) for building monitoring dashboards and trader‑facing tools.

Employment Details

Job Type: Full Time
Job Reference #: 339171BR
City: London

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.